Data Scientist

Short Description

Amazon is hiring for Data Scientist who has experience in using Python, R, SAS, SPSS, Matlab or other Statistical / Machine Learning Software.

Job Description

Roles And Responsibilities:
  • Contribute to the development and enhancement of business payment products and features.
  • Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business and improve our machine learning engine.
  • Make recommendations for new metrics, techniques, and strategies to improve campaign targeting and measurement.
  • Improve targeting capabilities and uncover hidden opportunities using data, analytics and machine learning.
  • Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.
  • Own the analytics for one or more product areas, lead planning, execution, and delivery of projects
  • Analyze and solve problems at their root, stepping back to understand the broader context.
  • Interface with all internal related and ancillary teams to deliver data and analytics as requested.
  • Provide support on experimental design, exploratory data analysis, and data management.

Basic Qualification:
  • Bachelor's degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience.
  • 3+ years of professional experience in a business environment or an advanced degree in a quantitative field.
  • Experience with A/B testing, statistics and model development.
  • Proficient in using SQL, ETL, Data Warehouse solutions and databases in a business environment with large-scale, complex datasets.
  • Ability to process large data sets from multiple data sources
  • Ability to solve complex business problems.

Preferred Qualification:
  • Graduate degree in Math, Finance, Economics, or Statistics or other related fields from an accredited university.
  • Experience in payments, business analysis, strategic consulting, marketing, product management, credit risk or fraud risk.
  • Familiarity with text mining, NLP and OCR.
  • Experience in complex data cleansing, data validation, and master data management.
  • Experience translating analysis results into business recommendations.
  • Experience in using Python, R, SAS, SPSS, Matlab or other Statistical / Machine Learning Software.
  • Advanced skills in data visualization tools like Quicksight, Tableau or similar BI tools.
  • Hands-on experience with statistical analysis and predictive modeling.
  • Effective written and verbal communication skills.

Data Scientist
Mid-Senior-level Information | Information Technology | Technology Full-time Engineering | Other | Information Technology Data Scientist | Data Science
Amazon.com, Inc. is an American electronic commerce and cloud computing company that was founded on July 5, 1994 by Jeff Bezos and is based in Seattle, Washington. The tech giant is the largest Internet-based retailer in the world by total sales and market capitalization. Amazon.com started as an online bookstore and later diversified to sell DVDs, Blu-rays, CDs, video downloads/streaming, MP3 downloads/streaming, audiobook downloads/streaming, software, video games, electronics, apparel, furniture, food, toys, and jewelry. The company also produces consumer electronics notably, Kindle e-readers, Fire tablets, Fire TV, and Echo and is the world's largest provider of cloud infrastructure services (IaaS and PaaS). Amazon also sells certain low-end products like USB cables under its in-house brand AmazonBasics.
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